{"id":"W2612352963","doi":"10.1007/s10570-017-1327-5","title":"Effects of poly(ethylene glycol) on the morphology and properties of biocomposites based on polylactide and cellulose nanofibers","year":2017,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Masterbatch; Nanofiber; Ethylene glycol; Composite material; Cellulose; PEG ratio; Crystallization; Casting; Composite number; Organoclay; Chemical engineering; Nanocomposite","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004697967,0.0002713346,0.0004529362,0.0001243403,0.0004137578,0.00006503704,0.0004500567,0.00009014699,0.00004290408],"category_scores_gemma":[0.0005212238,0.000167802,0.00006402534,0.00006687199,0.001990125,0.000130801,0.0003582035,0.0001599635,0.00002072135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362065,"about_ca_system_score_gemma":0.00005085492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000238963,"about_ca_topic_score_gemma":0.000005208331,"domain_scores_codex":[0.9982302,0.0002428488,0.000292628,0.0004480293,0.0003787146,0.0004075413],"domain_scores_gemma":[0.9976755,0.001024915,0.0003628319,0.0007293206,0.00009211395,0.0001152782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005532498,0.0001770505,0.0004953801,0.0004954766,0.00002162834,0.00002599321,0.0003651553,0.000006340838,0.9963702,0.0005539865,0.00005763227,0.0008778945],"study_design_scores_gemma":[0.000837263,0.0007267015,0.004929356,0.0002861618,0.00003177528,0.000002833198,0.00007550822,0.0002251509,0.9923773,0.0002432176,0.00009427323,0.0001704197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940572,0.00335491,0.00008509811,0.0008097801,0.0001495982,0.0006817835,0.00001539829,0.00002403411,0.0008222473],"genre_scores_gemma":[0.9984801,0.0002309131,0.0004957946,0.00009457873,0.00003914995,0.00005372113,9.918672e-7,0.00002622748,0.0005785222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004433976,"threshold_uncertainty_score":0.7332698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870274713292652,"score_gpt":0.2550570808525711,"score_spread":0.2363543337196446,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}